Results 231 to 240 of about 392,357 (290)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks. [PDF]

J Chem Inf Model
Tajs P, Skarupski M, Rydzewski J.
europepmc   +1 more source

Investigating the Effects of Build Height on Mechanical Behavior of Large‐Scale Laser Wire Directed Energy Deposited Nickel Titanium Alloy

Advanced Engineering Materials, EarlyView.
Laser wire directed energy deposition process was leveraged to fabricate large scale NiTi alloy wall. Evaluation of build‐height‐dependent tribo‐mechanical properties revealed significant differences in location specific sample characteristics. The middle region achieved optimal performance (superior wear resistance, balanced strength‐ductility ...
Hyunsuk Choi, Prayag Burad, Piash Bhowmik, Vishal Mahey, Yashwanth Bandari, Sougata Roy   +5 more
wiley   +1 more source

Assessing the advantages and disadvantages of dimensionality reduction methods in summarizing housing determinants of health in the United States. [PDF]

JAMIA Open
Chen X, Kitchen C, Kharrazi H.
europepmc   +1 more source

Multi-Objective Cuckoo Search Optimization for Dimensionality Reduction

, 2016
Waleed Yamany, Nashwa El-Bendary, Aboul Ella Hassanien, E. Emary   +3 more
openalex   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

Advanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

Secure federated learning with metaheuristic optimized dimensionality reduction and multi-head attention for DDoS attack mitigation. [PDF]

Sci Rep
Alanazi AA, Althbiti A, Ghorashi SA, Birkea FMO, Soto-Diaz R, Escorcia-Gutierrez J.   +5 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

OKEN: A Supervised Evolutionary Optimizable Dimensionality Reduction Framework for Whole Slide Image Classification. [PDF]

Bioengineering (Basel)
Oskouei S, Pedersen A, Valla M, Dale VG, Wahl SGF, Haugum MD, Langø T, Ramnefjell MP, Akslen LA, Kiss G, Sorger H.   +10 more
europepmc   +1 more source